Towards the quantum-enabled technologies for development of drugs or delivery systems

P Hassanzadeh - Journal of Controlled Release, 2020 - Elsevier
Enormous advances in technology and science have provided outstanding innovations
including the development of quantum computers (QCs) capable of performing various tasks …

Fast Prediction of Sugar Content in Dangshan Pear (Pyrus spp.) Using Hyperspectral Imagery Data

D Zhang, L Xu, D Liang, C Xu, X Jin, S Weng - Food Analytical Methods, 2018 - Springer
Sugar content in fruit is one of the most crucial internal quality factors and provides valuable
information for predicting maturity and making commercial decisions. The distribution of …

Knowledge-based particle swarm optimization for PID controller tuning

J Chen, MN Omidvar, M Azad… - 2017 IEEE Congress on …, 2017 - ieeexplore.ieee.org
A proportional-integral-derivative (PID) controller is a control loop feedback mechanism
widely employed in industrial control systems. The parameters tuning is a sticking point …

Mid-and long-term runoff predictions by an improved phase-space reconstruction model

M Hong, D Wang, Y Wang, X Zeng, S Ge, H Yan… - Environmental …, 2016 - Elsevier
In recent years, the phase-space reconstruction method has usually been used for mid-and
long-term runoff predictions. However, the traditional phase-space reconstruction method is …

Evolutionary Modeling of Industrial Plants and Design of PID Controllers: Case Studies and Practical Applications

M Patrascu, A Ion - Nature-inspired computing for control systems, 2016 - Springer
This chapter brings forth the practical aspect of using genetic algorithms (GAs) in aiding PID
(Proportional-Integral-Derivative) control design for real world industrial processes. Plants …

A prediction framework for pharmaceutical drug consumption using short time-series

F Bertolotti, F Schettini, L Ferrario, D Bellavia… - Expert Systems with …, 2024 - Elsevier
The increasing pharmaceutical expenditure in many countries has raised concerns
regarding the sustainability of healthcare services. To address this issue, accurate …

Predicting Flood Water Level Using Combined Hybrid Model of Rainfall-Runoff and AI-Based Models

D Kim, H Han, H Lee, Y Kang, W Wang… - KSCE Journal of Civil …, 2024 - Springer
Vietnam faces on significant human and property losses from floods almost every year.
Therefore, the aim of this study is to provide timely and highly accurate flood prediction …

A hybrid multi-objective evolutionary algorithm with feedback mechanism

C Lu, L Gao, X Li, B Zeng, F Zhou - Applied Intelligence, 2018 - Springer
Exploration and exploitation are two cornerstones for multi-objective evolutionary algorithms
(MOEAs). To balance exploration and exploitation, we propose an efficient hybrid MOEA (ie …

Efficient simulation based calibration of automated driving functions based on sensitivity based optimization

N Fraikin, K Funk, M Frey… - IEEE Open Journal of …, 2020 - ieeexplore.ieee.org
Increasing demands on reliability and safety of automated driving functions require an
augmented usage of simulation tools for the efficient calibration of these functions. However …

Yapay zeka tabanlı optimizasyon algoritmaları geliştirilmesi

U Köse - 2017 - acikerisim.selcuk.edu.tr
Özet Yapay Zekâ (YZ), hiç kuşkusuz ki Bilgisayar Bilimleri'nin en önemli ilgi alanlarından
birisidir. İnsan düşünce-davranış şekilleri ve doğa dinamiklerinin benzetimi neticesinde …